Property in the Moral Life of Human Beings

AbstractLiberal egalitarian political philosophers have often argued that private property is a legal convention dependent on the state and that complaints about taxation from entitlement theorists are therefore based on a conceptual mistake. But our capacity to grasp and use property concepts seems too embedded in human nature for this to be correct. This essay argues that many standard arguments that property is constitutively a legal convention fail, but that the opposition between conventionalists and natural rights theorists is outmoded. In doing this, the essay draws on recent literature in evolutionary biology and psychology. Even though modern property in a complex society involves legal conventions, those conventions should be sensitive to our natural dispositions concerning ownership.</jats:p

Approaching Evaluation in Youth Community Informatics

In the Youth Community Informatics project, young people from disadvantaged communities use audio and video recording and editing tools, GPS/GIS, presentation software, graphics, and other digital technologies as the means for addressing community needs. They build community asset maps, document community history, develop exhibits in collaboration with libraries and museums, present cultural heritage, organize political action, operate community radio, create and maintain community technology centers, and express themselves through multiple media. These activities typically involve multiple partners and develop in unpredictable ways in response to community life. In order to understand what they mean in the lives of the youth and the community we need richer evaluation approaches.published or submitted for publicationis peer reviewe

On a Connection between Differential Games, Optimal Control, and Energy-based Models for Multi-Agent Interactions

Game theory offers an interpretable mathematical framework for modeling multi-agent interactions. However, its applicability in real-world robotics applications is hindered by several challenges, such as unknown agents' preferences and goals. To address these challenges, we show a connection between differential games, optimal control, and energy-based models and demonstrate how existing approaches can be unified under our proposed Energy-based Potential Game formulation. Building upon this formulation, this work introduces a new end-to-end learning application that combines neural networks for game-parameter inference with a differentiable game-theoretic optimization layer, acting as an inductive bias. The experiments using simulated mobile robot pedestrian interactions and real-world automated driving data provide empirical evidence that the game-theoretic layer improves the predictive performance of various neural network backbones.Comment: International Conference on Machine Learning, Workshop on New Frontiers in Learning, Control, and Dynamical Systems (ICML 2023 Frontiers4LCD

Measurements of few-mode fiber photonic lanterns in emulated atmospheric conditions for a low earth orbit space to ground optical communication receiver application

Photonic lanterns are being evaluated as a component of a scalable photon counting real-time optical ground receiver for space-to-ground photon-starved communication applications. The function of the lantern as a component of a receiver is to efficiently couple and deliver light from the atmospherically distorted focal spot formed behind a telescope to multiple small-core fiber-coupled single-element super-conducting nanowire detectors. This architecture solution is being compared to a multimode fiber coupled to a multi-element detector array. This paper presents a set of measurements that begins this comparison. This first set of measurements are a comparison of the throughput coupling loss at emulated atmospheric conditions for the case of a 60 cm diameter telescope receiving light from a low earth orbit satellite. The atmospheric conditions are numerically simulated at a range of turbulence levels using a beam propagation method and are physically emulated with a spatial light modulator. The results show that for the same number of output legs as the single-mode fiber lantern, the few-mode fiber lantern increases the power throughput up to 3.92 dB at the worst emulated atmospheric conditions tested of D/r(sub 0)=8.6. Furthermore, the coupling loss of the few-mode fiber lantern approaches the capability of a 30 micron graded index multimode fiber chosen for coupling to a 16 element detector array

Radar-based Dynamic Occupancy Grid Mapping and Object Detection

Environment modeling utilizing sensor data fusion and object tracking is crucial for safe automated driving. In recent years, the classical occupancy grid map approach, which assumes a static environment, has been extended to dynamic occupancy grid maps, which maintain the possibility of a low-level data fusion while also estimating the position and velocity distribution of the dynamic local environment. This paper presents the further development of a previous approach. To the best of the author's knowledge, there is no publication about dynamic occupancy grid mapping with subsequent analysis based only on radar data. Therefore in this work, the data of multiple radar sensors are fused, and a grid-based object tracking and mapping method is applied. Subsequently, the clustering of dynamic areas provides high-level object information. For comparison, also a lidar-based method is developed. The approach is evaluated qualitatively and quantitatively with real-world data from a moving vehicle in urban environments. The evaluation illustrates the advantages of the radar-based dynamic occupancy grid map, considering different comparison metrics.Comment: Accepted to be published as part of the 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC), Rhodes, Greece, September 20-23, 202

Reviewing the UK's exploited hydropower resource (onshore and offshore)

Hydropower and tidal energy are valuable renewable energy resources that can assist in meeting the United Kingdom's net zero greenhouse gas emissions target. Existing studies have attempted to assess what the future energy resource potential is that can be harnessed from the water environment. Although schemes harnessing this energy, particularly hydropower, have been widely developed across the UK, few of the resource assessments account for already operational sites. This study takes the initial step required to holistically assess an accurate available potential by determining where and how much of the combined resource has already been exploited. During the research it was noted that the extent of development in terms of installed capacity and locations of sites has been poorly recorded. Data collection shows that there is not a single comprehensive database of hydropower and tidal energy schemes. This study has therefore addressed this research gap collating operational hydropower and tidal energy projects. This research determines the total installed capacity of hydropower is 4.66 GW, with 82 % of the powerhouses' locality identified. The contribution of tidal energy is much smaller at 10.63 MW. This research now makes it possible to fully understand the existing hydropower picture for the UK for the first time, allowing for more accurate resource assessments to be undertaken and for a better understanding of what the current contribution of these renewable energy sources (approximately 14 %) can be towards meeting the UK's energy demand (averaging 33 GW in 2020)